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1. Data analysis using regression and multilevel/hierarchical models
by Gelman, Andrew and Hill, Jennifer, 1969
2007, Analytical methods for social research, ISBN 0521867061, xxii, 625
Regressieanalyse | Multilevel models (Statistics) | Multiniveau-analyse | Regression analysis
Book
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2. Mixture model-based classification
by McNicholas, Paul D., author
2016, 1, ISBN 1482225662, xxiv, 212 pages
Hierarchical clustering (Cluster analysis) | Discriminant analysis | Multiple comparisons (Statistics) | Classification | Mixture distributions (Probability theory) | Mathematics | Methods | Statistical Theory & Methods | Bioinformatics | Psychological Methods & Statistics
Book
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3. Multilevel models
: applications using SAS
by Wang, Jichuan and Xie, Haiyi and Fischer, James H
2012, ISBN 9783110267594, ix, 264 pages
Multilevel models (Statistics) | Social sciences | Modèles mathématiques | Mathematical models | Research | Sciences sociales | Recherche | Modèles multiniveaux (Statistique)
Book
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4. Full Text How to model species responses along ecological gradients – Huisman–Olff–Fresco models revisited
by Florian Jansen and Jari Oksanen
Journal of vegetation science, ISSN 1100-9233, 11/2013, Volume 24, Issue 6, pp. 1108 - 1117
Datasets | Ecological modeling | Statistical models | Vegetation | Multilevel models | Plants | Species | Parametric models | Modeling | Realized niche | Bioindication | Hierarchical modelling | Logistic regression | Species turnover | Species optimum | Environmental gradient | Fundamental and applied biological sciences. Psychology | Biological and medical sciences | Animal and plant ecology | Applied ecology | Conservation, protection and management of environment and wildlife | Animal, plant and microbial ecology | Agricultural land
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5. Full Text Model selection and assessment for multi-species occupancy models
by Kristin M. Broms and Mevin B. Hooten and Ryan M. Fitzpatrick
Ecology (Durham), ISSN 0012-9658, 7/2016, Volume 97, Issue 7, pp. 1759 - 1770
Bayesian hierarchical models | biodiversity | species distribution maps | cross‐validation | plains fish | South Platte River Basin | Environmental Sciences & Ecology | Ecology | Life Sciences & Biomedicine | Science & Technology | Fish populations | Observations | Stock assessment (Wildlife management) | Methods | Ecologists | Data analysis | Mathematical models | Biodiversity | Bayesian analysis | Index Medicus
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6. Multilevel modeling
by Luke, Douglas A
2004, ISBN 0761928790, 88
Multivariate analysis | Multilevel models (Statistics)
Book
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7. Full Text Bayesian Disease Mapping
: Hierarchical Modeling in Spatial Epidemiology, Third Edition
by Andrew B. Lawson
05/2018, Chapman & Hall/CRC Interdisciplinary Statistics, ISBN 1138575429, 22
georeferenced health data | BIOMEDICALSCIENCEnetBASE | conditional autoregressive models | infectious diseases | STATSnetBASE | BIOSCIENCEnetBASE | Stan | Bayesian tools and methods | Epidemiology | regression and ecological analysis | Bayesian disease mapping | survival analysis | spatial epidemiology | surveillance | WinBUGS code | Statistical Computing | STMnetBASE | SCI-TECHnetBASE | bayesian hierarchical mapping | putative hazard modeling | disease map surveillance | INLA package in R | Statistical Theory & Methods | Bayesian hierarchical regression modeling | INLA | geographical analysis of disease | spatial biostatistics | spatio-temporal
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8. Full Text Disease‐structured N‐mixture models: A practical guide to model disease dynamics using count data
by DiRenzo, Graziella V and Che‐Castaldo, Christian and Saunders, Sarah P and Campbell Grant, Evan H and Zipkin, Elise F
Ecology and evolution, ISSN 2045-7758, 01/2019, Volume 9, Issue 2, pp. 899 - 909
occupancy model | generalized N‐mixture model | Bayesian | emerging infectious diseases | host–pathogen interaction | hierarchical models | mark–recapture models | multistate models | disease ecology | Dail–Madsen model | generalized N-mixture model | Environmental Sciences & Ecology | Ecology | Life Sciences & Biomedicine | Evolutionary Biology | Science & Technology | Parameter estimation | Theory | Population number | Animal diseases | Infections | Statistical methods | Probabilistic models | Biodiversity | Reptiles & amphibians | Ecologists | Wildlife | Dynamics | Population | Mathematical models | Arachnids | Pathogens | Statistical analysis | Probability | Birds | Estimates | Disease control | Population (statistical) | Infectious diseases | Disease transmission | State space models | Immigration | Error detection | Wildlife management
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9. Introduction to computational neurobiology and clustering
by Tirozzi, Brunello
2007, ISBN 9789812705396, xii, 229
Book
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10. Full Text Bayesian model reduction and empirical Bayes for group (DCM) studies
by Friston, Karl J and Litvak, Vladimir and Oswal, Ashwini and Razi, Adeel and Stephan, Klaas E and van Wijk, Bernadette C.M and Ziegler, Gabriel and Zeidman, Peter
NeuroImage (Orlando, Fla.), ISSN 1053-8119, 03/2016, Volume 128, pp. 413 - 431
Empirical Bayes | Hierarchical modelling | Bayesian model reduction | Classification | Random effects | Fixed effects | Dynamic causal modelling | Neuroimaging | Neurosciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Schizophrenia | Models, Neurological | Humans | Bayes Theorem | Models | Analysis | Biomedical engineering | Studies | Biomedical research | Normal distribution | Bayesian analysis | Index Medicus | Technical Note
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11. Full Text A Hierarchical Model for Spatial Capture-Recapture Data
by J. Andrew Royle and Kevin V. Young
Ecology (Durham), ISSN 0012-9658, 8/2008, Volume 89, Issue 8, pp. 2281 - 2289
Wildlife ecology | Density estimation | Horned lizards | Ecological modeling | Animals | Multilevel models | Emigration | Population estimates | Population size | Modeling | distance sampling | spatial point process | abundance estimation | data augmentation | Phrynosoma mcallii | trapping grid | hierarchical modeling | animal movement models | Bayesian analysis | density estimation | trapping web | Animal movement models | Trapping grid | Distance sampling | Hierarchical modeling | Spatial point process | Data augmentation | Abundance estimation | Trapping web | Environmental Sciences & Ecology | Ecology | Life Sciences & Biomedicine | Science & Technology | Fundamental and applied biological sciences. Psychology | General aspects | Animal, plant and microbial ecology | General aspects. Techniques | Biological and medical sciences | Methods and techniques (sampling, tagging, trapping, modelling...) | Animal and plant ecology | Lizards - physiology | Demography | Models, Biological | Computer Simulation | Ecosystem | Bayes Theorem | Monte Carlo Method | Research Design | Bayesian statistical decision theory | Measurement | Evaluation | Horned toads | Animal locomotion | Distribution | Environmental aspects | Methods | Population density | Studies | Trapping | Simulation | Animal behavior | Animal populations | Index Medicus
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12. Applied Bayesian hierarchical methods
by Congdon, P
2010, ISBN 1584887206, xiii, 590
Bayesian statistical decision theory | Multilevel models (Statistics)
Book
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13. Full Text Bayesian model selection for group studies
by Stephan, Klaas Enno and Penny, Will D and Daunizeau, Jean and Moran, Rosalyn J and Friston, Karl J
NeuroImage (Orlando, Fla.), ISSN 1053-8119, 07/2009, Volume 46, Issue 4, pp. 1004 - 1017
fMRI | Variational Bayes | EEG | Source reconstruction | Random effects | Bayes factor | Model comparison | Hierarchical models | MEG | Model evidence | Dynamic causal modelling | DCM | Neuroimaging | Neurosciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Hypotheses | Approximation | Random variables | Bayesian analysis | Statistics | Index Medicus | model evidence | model comparison | source reconstruction | hierarchical models | variational Bayes | dynamic causal modelling
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14.